Condizione: New.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2026
ISBN 10: 0443452520 ISBN 13: 9780443452529
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Paperback. Condizione: new. Paperback. Natural Language Processing for Healthcare Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloCondizione: New. Bridges AI research and healthcare practice with accessible, healthcare-focused NLP insights for clinical and operational useProvides practical guidance on designing and deploying intelligent virtual assistants to enhance patient care and e.
Da: Revaluation Books, Exeter, Regno Unito
EUR 271,21
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Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 7.52x1.04x9.25 inches. In Stock.
Condizione: New. 2026. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2026
ISBN 10: 0443452520 ISBN 13: 9780443452529
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 323,73
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Natural Language Processing for Healthcare Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2026
ISBN 10: 0443452520 ISBN 13: 9780443452529
Da: CitiRetail, Stevenage, Regno Unito
EUR 182,29
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical applications in healthcare, offering an accessible guide tailored to the unique challenges of medical environments. It highlights how NLP technologies are revolutionizing patient care, medical documentation, and clinical decision-making while emphasizing ethical, legal, and interoperability considerations. Structured into four sections, the book begins by laying foundational knowledge in NLP and healthcare data, covering concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, machine learning models, including BioBERT and ClinicalBERT, and emerging impacts of large language models like GPT.The applications section explores real-world implementations of intelligent assistants, such as virtual health chatbots, clinical documentation tools, conversational AI for patient engagement, and voice recognition integrated into electronic health records. Technical chapters provide insights into system architectures, evaluation metrics, data privacy, security, and interoperability standards like FHIR. The final section looks ahead to future directions including multilingual NLP, federated learning for privacy preservation, and the evolving landscape of AI-driven healthcare assistants. This book is an indispensable resource for a broad audience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.